Machine Learning Approach for Gesticulation System Using Hand

Hand gestures play a crucial role in both nonverbal cues and our interactions with the outside world. Notably, millions of individuals with disabilities benefit from sign language, a system of hand signals. The versatility of hand gesture recognition technologies to successfully collaborate with machines has spurred their rapid development in recent years. The most intuitive form of communication between humans and PCs in a virtual environment is seen to be gesturing. The proposed work focus on hand gestures to convey ideas because they are an evocative form of nonverbal communication. In this programme, the camera on our PC captures a live video from which a preview is obtained with the aid of its features or operations. The entry onto the market of inexpensive webcams with at least acceptable characteristics opens up new avenues for the application of human-computer interaction (HCI) interfaces. The paper offers an HCI mouse cursor control interface. The implemented solution's goal is to enable user hand motions to move the mouse cursor while viewed on a webcam.